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A critical assessment and summary on the low carbon energy pile technologies based on the life-cycle perspective: Challenges and prospects

Zhang, Linfeng (author), Han, Haozhe (author), Li, Wenxin (author), Guo, Kewei (author), Yuan, Minglu (author), Liu, Zhengxuan (author)

Energy piles, a technology integrating the heat exchange component within building pile foundations for shallow geothermal energy utilization, have proven economically efficient. They outperform conventional ground source heat pumps by mitigating additional borehole costs and space requirements. This paper systematically examines low-carbon...

journal article 2024

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Particle filter-based fatigue damage prognosis by fusing multiple degradation models

Li, Tianzhi (author), Chen, Jian (author), Yuan, Shenfang (author), Zarouchas, D. (author), Sbarufatti, Claudio (author), Cadini, Francesco (author)

Fatigue damage prognosis always requires a degradation model describing the damage evolution with time; thus, the prognostic performance highly depends on the selection of such a model. The best model should probably be case specific, calling for the fusion of multiple degradation models for a robust prognosis. In this context, this paper...

journal article 2024

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Using Real Building Energy Use Data to Explain the Energy Performance Gap of Energy-Efficient Residential Buildings: A Case Study from the Hot Summer and Cold Winter Zone in China

Wang, Xia (author), Yuan, Jiachen (author), You, K. (author), Ma, Xianrui (author), Li, Zhaoji (author)

The International Energy Agency (IEA) emphasizes that using real building energy use data (RBEUD) to reflect the actual condition of buildings and inform policy-making is the most effective way to reduce buildings’ carbon emissions. However, based on IEA’s evaluation, regional and national building stock data are limited and lacking. Especially...

journal article 2023

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An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments

Ni, Ying (author), Li, Y. (author), Yuan, Y. (author), Sun, Jian (author)

In recent years, the interest in riding in cities using the two-wheeler (e.g., bicycles, electric bicycles, electric mopeds, etc.) increases. Mixed-traffic road segments are one of the most common traffic scenes where the mixed two-wheeler flows exist. Because the movements are often not restricted by lanes, the two-wheeler uses lateral road...

journal article 2023

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Highly efficient carbon assimilation and nitrogen/phosphorus removal facilitated by photosynthetic O₂ from algal-bacterial aerobic granular sludge under controlled DO/pH operation

Li, Zejiao (author), Wang, Jixiang (author), Liu, Jialin (author), Chen, Xingyu (author), Lei, Zhongfang (author), Yuan, Tian (author), Lee, Duu Jong (author), Lin, Y. (author), van Loosdrecht, Mark C.M. (author)

Reducing CO₂ emission and energy consumption is crucial for the sustainable management of wastewater treatment plants (WWTPs). In this study, an algal-bacterial aerobic granular sludge (AGS) system was developed for efficient carbon (C) assimilation and nitrogen (N)/phosphorus (P) removal without the need for mechanical aeration....

journal article 2023

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Reverse Recovery Optimization of Multiepi Superjunction MOSFET Based on Tunable Doping Profile

Liu, Ke (author), Tan, C. (author), Li, Shizhen (author), Yuan, Wucheng (author), Liu, X. (author), Zhang, Kouchi (author), French, P.J. (author), Ye, H. (author), Wang, S. (author)

This paper proposes and simulates research on the reverse recovery characteristics of two novel superjunction (SJ) MOSFETs by adjusting the doping profile. In the manufacturing process of the SJ MOSFET using multilayer epitaxial deposition (MED), the position and concentration of each Boron bubble can be adjusted by designing different doping...

journal article 2023

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Risk Analysis of Laboratory Fire Accidents in Chinese Universities by Combining Association Rule Learning and Fuzzy Bayesian Networks

Yang, Fuqiang (author), Li, Xin (author), Yuan, S. (author), Reniers, G.L.L.M.E. (author)

Targeting the challenges in the risk analysis of laboratory fire accidents, particularly considering fire accidents in Chinese universities, an integrated approach is proposed with the combination of association rule learning, a Bayesian network (BN), and fuzzy set theory in this study. The proposed approach has the main advantages of deriving...

journal article 2023

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Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning

Yuan, Henan (author), Li, Penghui (author), van Arem, B. (author), Kang, Liujiang (author), Farah, H. (author), Dong, Y. (author)

Traffic scenarios in roundabouts pose substantial complexity for automated driving. Manually mapping all possible scenarios into a state space is labor-intensive and challenging. Deep reinforcement learning (DRL) with its ability to learn from interacting with the environment emerges as a promising solution for training such automated driving...

conference paper 2023

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A Novel High-temperature Pressure Sensor Based on Graphene Coated by Si3N4

Zeng, Simei (author), Tang, Chenggang (author), Hong, H. (author), Yuan, Fang (author), Li, Yuning (author), Wang, Yuqiang (author), Kong, Lingbing (author), Sun, Jingye (author), Zhu, Mingqiang (author), Deng, Tao (author)

The high-temperature pressure sensors have wide applications in aerospace, petroleum, geothermal exploration, automotive electronics, and other fields. However, the traditional silicon-based pressure sensors are restricted to pressure measurement under 120~{\circ }\text{C} and cannot be satisfied to measure the pressure of various gases or...

journal article 2023

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Electroreduction of Carbon Dioxide to Acetate using Heterogenized Hydrophilic Manganese Porphyrins

Abdinejad, M. (author), Yuan, T. (author), Tang, Keith (author), Duangdangchote, Salatan (author), Iglesias van Montfort, H.P. (author), Li, Mengran (author), Middelkoop, J. (author), Wolff, M.J. (author), Burdyny, T.E. (author)

The electrochemical reduction of carbon dioxide (CO₂) to value-added chemicals is a promising strategy to mitigate climate change. Metalloporphyrins have been used as a promising class of stable and tunable catalysts for the electrochemical reduction reaction of CO₂ (CO₂RR) but have been primarily restricted...

journal article 2023

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An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Chen, Xing lin (author), Lin, Wei dong (author), Liu, Chun xiang (author), Yang, Fu qiang (author), Guo, Yong (author), Li, Xin (author), Yuan, S. (author), Reniers, G.L.L.M.E. (author)

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even...

journal article 2023

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Investigation on Transient Failure Mode of Asymmetric Trench Gate SiC MOSFET Under Single-Pulse Avalanche Stress

Wang, S. (author), Tan, Yanlong (author), Liu, Xu (author), Li, Shizhen (author), Liu, Ke (author), Yuan, Wucheng (author), Li, Tao (author), Zhang, Kouchi (author), French, P.J. (author), Ye, Huaiyu (author), Tan, Chunjian (author)

In this article, the avalanche withstand capability and transient failure model of commercial 1200 V asymmetric trench gate SiC MOSFETs are investigated by experiment and simulation under single-pulse unclamped inductive switching (UIS) conditions. The limiting avalanche current and limiting avalanche energy of the device are determined by...

conference paper 2023

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Special Issue on “Recent Advances in Robust Adaptive Control”

Baldi, S. (author), Kosmatopoulos, Elias (author), Roy, Spandan (author), Yuan, Shuai (author), Roy, Sayan Basu (author), Li, Le (author)

contribution to periodical 2022

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Prediction of mechanical solutions for a laminated LCEs system fusing an analytical model and neural networks

Wang, Jue (author), Yuan, Weiyi (author), Li, Z. (author), Zhu, Yingcan (author), Santos, Thebano (author), Fan, J. (author)

This paper presents a convenient and efficient method to predict the mechanical solutions of a laminated Liquid Crystal Elastomers (LCEs) system subjected to combined thermo-mechanical load, based on a back propagation (BP) neural network which is trained by machine learning from a database established by analytical solutions. Firstly, the...

journal article 2022

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A neural network-assisted 3D theoretical thermoelastic solution for laminated liquid crystal elastomer plate used in restoring cardiac mechanical function

Wang, Jue (author), Yuan, Weiyi (author), Li, Z. (author), Trofimov, Yuri (author), Lishik, Sergey (author), Fan, J. (author)

Some atrial contractile assist devices applied on the heart surface can be regarded as a laminated Liquid crystal elastomer (LCE) plate under steady temperature loads and a contact mechanical force. An exact solution for the deformation of the laminated LCE plate under combined thermal and mechanical loads is derived by solving the three...

journal article 2022

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Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification

Lin, Chaoning (author), Li, Tongchun (author), Chen, Siyu (author), Yuan, Li (author), van Gelder, P.H.A.J.M. (author), Yorke-Smith, N. (author)

Dam safety monitoring has become an important topic and is critical for evaluating a dam's safety status. This study focuses on identifying the mechanical properties of a concrete dam from long-term viscoelastic deformation monitoring data. A novel inversion framework is proposed in which a surrogate model, instead of the finite element model,...

journal article 2022

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Thickness-Independent Capacitive Performance of Holey Ti₃C₂T_x Film Prepared through a Mild Oxidation Strategy

Guo, R. (author), Yuan, Peng (author), Han, Xiying (author), He, Xuexia (author), Lu, Jiangbo (author), Li, Qi (author), Dang, Liqin (author), Sun, Jie (author), Liu, Zonghuai (author), Lei, Zhibin (author)

The Ti₃C₂T_x film with metallic conductivity and high pseudo-capacitance holds profound promise in flexible high-rate supercapacitors. However, the restacking of Ti₃C₂T_x sheets hinders ion access to thick film electrodes. Herein, a mild yet green route has been developed to...

journal article 2022

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Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

Liu, Qi (author), Li, Z. (author), Li, Xueyuan (author), Wu, Jingda (author), Yuan, Shihua (author)

A reliable multi-agent decision-making system is highly demanded for safe and efficient operations of connected and autonomous vehicles (CAVs). In order to represent the mutual effects between vehicles and model the dynamic traffic environments, this research proposes an integrated and open-source framework to realize different Graph...

conference paper 2022

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A Compact Transformer-Based Fractional-N ADPLL in 10-nm FinFET CMOS

Li, Chao Chieh (author), Yuan, Min Shueh (author), Liao, Chia Chun (author), Chang, Chih Hsien (author), Lin, Yu Tso (author), Tsai, Tsung Hsien (author), Huang, Tien Chien (author), Liao, Hsien Yuan (author), Staszewski, R.B. (author)

In this article, we introduce a fractional-N all-digital phase-locked loop (ADPLL) architecture based on a single LC-tank, featuring an ultra-wide tuning range (TR) and optimized for ultra-low area in 10-nm FinFET CMOS. Underpinned by excellent switches in the FinFET technology, a high turn-on/off capacitance ratio of LC-tank switched...

journal article 2021

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A novel dynamical collaborative optimization method of ship energy consumption based on a spatial and temporal distribution analysis of voyage data

Wang, Kai (author), Xu, Hao (author), Li, Jiayuan (author), Huang, Lianzhong (author), Ma, Ranqi (author), Jiang, X. (author), Yuan, Yupeng (author), Mwero, Ngome A. (author), Sun, Peiting (author), Negenborn, R.R. (author), Yan, Xinping (author)

It is of significant importance to optimize the energy consumption of ships in order to improve economy and reduce CO₂ emissions. However, the energy use of ships is affected by a series of navigational environmental parameters, which have certain spatial and temporal differences and variability. Therefore, the dynamic...

journal article 2021